Therefore, to develop a reliable prediction tool for wind speed, these uncertainties should be taken into account. In this work, we propose a probabilistic framework for prediction of wind speed from measured spatio-temporal data. The framework is based on decompositions of spatio-temporal covariance...
Wind energy, as a renewable energy source, offers the advantage of clean and pollution-free power generation. Its abundant resources have positioned wind power as the fastest-growing and most widely adopted method of electricity generation. Wind speed st
SHORT TERM WIND SPEED PREDICTION USING A NEW HYBRID MODEL WITH PASSIVE CONGREGATION pShort term wind speed predicting is essential in using wind energy as an alternative source of electrical power generation, thus the improvement of wind s... TA Aboueldahab - 《International Journal of Computers ...
Wind speed signal plays an important role in stabling output power,improving and optimizing the power quality of wind turbines. To solve the problem,a wind speed prediction method based on deep learning combined by convolutional neural network and recurrent neural network was proposed. Based on the...
wind speed prediction strategy is proposed and the wind speed is predicted with the help of wavelet transform, GWO and back propagation neural network. (ii) WT-GWO-BPNN is suitable for any type of wind farms and can be adopted for both wind power prediction and wind speed prediction. This ...
Three different sets of wind speed prediction (WSP) models and wind farm data from Block Island, Gulf Coast, and Garden City are used to thoroughly assess the proposed hybrid framework. This evaluation focusses on WSP for three specific time horizons: 5 minutes, 30 minutes, and 1 hour ahead...
The aggregate power prediction is constructed from the measures of aggregate power generated during moments from a historical data set in which the wind speed predictions were similar to the current ones, using smoothing techniques. The methodology is applied to the hourly wind power forecast for ...
The Annual Energy Production (AEP) computation can be performed by weighting the wind speed distribution at the rotor height with the power curve of the wind turbine (REWS), taking into account losses due to wake effects. Multi-mast tool ...
of the wind speed increments. Here, 𝑣̂𝑖v^i denotes the prediction of the ith measured value of the wind speeds, and 𝑣𝑖vi is the corresponding measured value. The mean of wind speeds is denoted by 𝑣̲v¯. Table 1 shows the results of our ARIMA(0,1,2)(0,1,2) ...
Short-term wind speed prediction using empirical wavelet transform and Gaussian process regression. Energy 2015, 93, 1456–1466. [Google Scholar] [CrossRef] Gong, Z.Q.; Zou, M.W.; Gao, X.Q.; Dong, W.J. On the difference between empirical mode decomposition and wavelet decomposition in ...